Using Natural Language Processing to Analyze Tutorial Dialogue Corpora Across Domains and Modalities
Proceedings of the 14th International Conference on Artificial Intelligence in Education (AIED)
Date
28/10/2010Author
Litman, Diane
Moore, Johanna D.
Dzikovska, Myroslava
Farrow, Elaine
Metadata
Abstract
Our research goal is to investigate whether previous findings and methods
in the area of tutorial dialogue can be generalized across dialogue corpora that
differ in domain (mechanics versus electricity in physics), modality (spoken versus
typed), and tutor type (computer versus human). We first present methods for
unifying our prior coding and analysis methods. We then show that many of our
prior findings regarding student dialogue behaviors and learning not only generalize
across corpora, but that our methodology yields additional new findings. Finally,
we show that natural language processing can be used to automate some of
these analyses.